Prediction of carotid intraplaque hemorrhage using adventitial calcification and plaque thickness on CTA

American Journal of Neuroradiology

Volumn 37, Issue 8, 2016, Pages 1496-1503

  Eisenmenger, L B ^a   Aldred, B W ^a   Kim, S E ^a   Stoddard, G J ^a,b,c   De Havenon, A ^b   Treiman, G S ^a   Parker, D L ^a   McNally, J S ^a  

^a UNIVERSITY OF UTAH SCHOOL OF MEDICINE   (United States)

^b Design and Biostatistics Center ^*  (United States)

^c VETERANS AFFAIRS MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

IOPAMIDOL;

ADVENTITIAL CALCIFICATION; AGED; AREA UNDER THE CURVE; ARTICLE; BRAIN HEMORRHAGE; CALCIFICATION; CAROTID ARTERY DISEASE; CAROTID ATHEROSCLEROSIS; CAROTID INTRAPLAQUE HEMORRHAGE; COHORT ANALYSIS; COMPUTED TOMOGRAPHIC ANGIOGRAPHY; CONTROLLED STUDY; FEMALE; HUMAN; MAGNETIC RESONANCE ANGIOGRAPHY; MAJOR CLINICAL STUDY; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; RECEIVER OPERATING CHARACTERISTIC; RETROSPECTIVE STUDY; RISK FACTOR; ATHEROSCLEROTIC PLAQUE; BLEEDING; CALCINOSIS; CAROTID ARTERY OBSTRUCTION; DIAGNOSTIC IMAGING; MIDDLE AGED; PATHOLOGY; PREVALENCE; PROCEDURES;

AGED; AREA UNDER CURVE; CALCINOSIS; CAROTID STENOSIS; COHORT STUDIES; COMPUTED TOMOGRAPHY ANGIOGRAPHY; FEMALE; HEMORRHAGE; HUMANS; MAGNETIC RESONANCE ANGIOGRAPHY; MALE; MIDDLE AGED; PLAQUE, ATHEROSCLEROTIC; PREVALENCE; RETROSPECTIVE STUDIES; RISK FACTORS; ROC CURVE;

EID: 84982146217     PISSN: 01956108     EISSN: 1936959X     Source Type: Journal    
DOI: 10.3174/ajnr.A4765     Document Type: Article

References (38)

1. Go AS, Mozaffarian D, Roger VL, et al; American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Heart Disease and Stroke Statistics: 2013 update-A report from the American Heart Association. Circulation 2013;127:e6-e245
2. Treiman GS, McNally JS, Kim SE, et al. Correlation of carotid intraplaque hemorrhage and stroke using 1.5Tand 3TMRI. Magn Reson Insights 2015;8(suppl 1):1-8
3. Saam T, Hetterich H, Hoffmann V, et al. Meta-Analysis and systematic review of the predictive value of carotid plaque hemorrhage on cerebrovascular events by magnetic resonance imaging. J Am Coll Cardiol 2013;62:1081-91
4. Hosseini AA, Kandiyil N, Macsweeney ST, et al. Carotid plaque hemorrhage on magnetic resonance imaging strongly predicts recurrent ischemia and stroke. Ann Neurol 2013;73:774-84
5. Gupta A, Baradaran H, Schweitzer AD, et al. Carotid plaque MRI and stroke risk: A systematic review and meta-Analysis. Stroke 2013;44: 3071-77
6. McNally JS, Yoon HC, Kim SE, et al. Carotid MRI detection of intraplaque hemorrhage at 3T and 1.5T. J Neuroimaging 2015;25:390-96
7. Ota H, Yarnykh VL, Ferguson MS, et al. Carotid intraplaque hemorrhage imaging at 3.0-T MR imaging: comparison of the diagnostic performance of three T1-weighted sequences. Radiology 2010;254: 551-63
8. Sun J, Song Y, Chen H, et al. Adventitial perfusion and intraplaque hemorrhage: A dynamic contrast-enhanced MRI study in the carotid artery. Stroke 2013;44:1031-36
9. U-King-Im JM, Fox AJ, Aviv RI, et al. Characterization of carotid plaque hemorrhage: ACTangiography andMRintraplaque hemorrhage study. Stroke 2010;41:1623-29
10. Gupta A, Baradaran H, Mtui EE, et al. Detection of symptomatic carotid plaque using source data from MR and CT angiography: A correlative study. Cerebrovasc Dis 2015;39:151-61
11. Gupta A, Mtui EE, Baradaran H, et al. CT angiographic features of symptom-producing plaque in moderate-grade carotid artery stenosis. AJNR Am J Neuroradiol 2015;36:349-54
12. McLaughlin A, Hinckley PJ, Treiman SM, et al. Optimal prediction of carotid intraplaque hemorrhage using clinical and lumen imaging markers. AJNR Am J Neuroradiol 2015;36:2360-66
13. Mendes J, Parker DL, McNally S, et al. Three-dimensional dynamic contrast enhanced imaging of the carotid artery with direct arterial input function measurement. Magnetic Reson Med 2014;72:816-22
14. Sorescu GP, Sykes M, Weiss D, et al. Bone morphogenic protein 4 produced in endothelial cells by oscillatory shear stress stimulates an inflammatory response. J Boil Chem 2003;278:31128-35
15. Towler DA, Shao JS, Cheng SL, et al. Osteogenic regulation of vascular calcification. Ann N Y Acad Sci 2006;1068:327-33
16. Wahlgren CM, Zheng W, Shaalan W, et al. Human carotid plaque calcification and vulnerability: relationship between degree of plaque calcification, fibrous cap inflammatory gene expression and symptomatology. Cerebrovasc Dis 2009;27:193-200
17. Shaalan WE, Cheng H, Gewertz B, et al. Degree of carotid plaque calcification in relation to symptomatic outcome and plaque inflammation. J Vasc Surg 2004;40:262-69
18. van den Bouwhuijsen QJ, Bos D, Ikram MA, et al. Coexistence of calcification, intraplaque hemorrhage and lipid core within the asymptomatic atherosclerotic carotid plaque: The Rotterdam Study. Cerebrovasc Dis 2015;39:319-24
19. Freilinger TM, Schindler A, Schmidt C, et al. Prevalence of nonstenosing, complicated atherosclerotic plaques in cryptogenic stroke. JACC Cardiovasc Imaging 2012;5:397-405
20. Hadley JR, Roberts JA, Goodrich KC, et al. Relative RF coil performance in carotid imaging. Magn Reson Imaging 2005;23:629-39
21. Zhu DC, Ferguson MS, DeMarco JK. An optimized 3D inversion recovery prepared fast spoiled gradient recalled sequence for carotid plaque hemorrhage imaging at 3.0 T. Magn Reson Imaging 2008;26:1360-66
22. North American Symptomatic Carotid Endarterectomy Trial: methods, patient characteristics, and progress. Stroke 1991;22: 711-20
23. Fox AJ. How to measure carotid stenosis. Radiology 1993;186: 316-18
24. Fox AJ, Eliasziw M, Rothwell PM, et al. Identification, prognosis, and management of patients with carotid artery near occlusion. AJNR Am J Neuroradiol 2005;26:2086-94
25. Bartlett ES, Walters TD, Symons SP, et al. Quantification of carotid stenosis on CT angiography. AJNR Am J Neuroradiol 2006;27:13-19
26. Menon BK, Singh J, Al-Khataami A, et al; Calgary CTA Study Group. The donut sign on CT angiography: An indicator of reversible intraluminal carotid thrombus? Neuroradiology 2010;52:1055-56
27. Trelles M, Eberhardt KM, Buchholz M, et al. CTA for screening of complicated atherosclerotic carotid plaque-American Heart Association type VI lesions as defined by MRI. AJNR Am J Neuroradiol 2013;34:2331-37
28. Zou GY, Donner A. Extension of the modified Poisson regression model to prospective studies with correlated binary data. Stat Methods Med Res 2013;22:661-70
29. Maldonado G, Greenland S. Simulation study of confounder-selection strategies. Am J Epidemiol 1993;138:923-36
30. Vittinghoff E, McCulloch CE. Relaxing the rule of ten events per variable in logistic and Cox regression. Am J Epidemiol 2007;165: 710-18
31. Pepe M, Longton G, Janes H. Estimation and comparison of receiver operating characteristic curves. Stata J 2009;9:1
32. Harrell FE Jr, Lee KL, Mark DB. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med 1996;15: 361-87
33. Cheng C, Tempel D, van Haperen R, et al. Atherosclerotic lesion size and vulnerability are determined by patterns of fluid shear stress. Circulation 2006;113:2744-53
34. Li M, Wu P, Shao J, et al. Losartan inhibits vascular calcification by suppressing the BMP2 and Runx2 expression in rats in vivo. Cardiovasc Toxicol 2016;16:172-81
35. Takaya N, Yuan C, Chu B, et al. Presence of intraplaque hemorrhage stimulates progression of carotid atherosclerotic plaques: A highresolution magnetic resonance imaging study. Circulation 2005; 111:2768-75
36. Sun J, Underhill HR, Hippe DS, et al. Sustained acceleration in carotid atherosclerotic plaque progression with intraplaque hemorrhage: A long-Term time course study. JACC Cardiovasc Imaging 2012;5:798-804
37. Underhill HR, Yuan C, Yarnykh VL, et al. Arterial remodeling in [corrected] subclinical carotid artery disease. JACC Cardiovasc Imaging 2009;2:1381-89
38. Yamada N, Higashi M, Otsubo R, et al. Association between signal hyperintensity on T1-weightedMRimaging of carotid plaques and ipsilateral ischemic events. AJNR Am J Neuroradiol 2007;28:287-92